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Road Extraction From Remote Sensing Images via Channel Attention and Multilayer Axial Transformer

Research article (IEEE Geoscience and Remote Sensing Letters, 2024) · cited 19× · AI/ML
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Road Extraction From Remote Sensing Images via Channel Attention and Multilayer Axial Transformer

Summary

Road Extraction From Remote Sensing Images via Channel Attention and Multilayer Axial Transformer is a scholarly article[1].

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  • Road Extraction From Remote Sensing Images via Channel Attention and Multilayer Axial Transformer's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Road Extraction From Remote Sensing Images via Channel Attention and Multilayer Axial Transformer. Retrieved May 24, 2026, from https://4ort.xyz/entity/road-extraction-from-remote-sensing-images-via-channel-attention-and-multilayer-axial-transformer
MLA “Road Extraction From Remote Sensing Images via Channel Attention and Multilayer Axial Transformer.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/road-extraction-from-remote-sensing-images-via-channel-attention-and-multilayer-axial-transformer.
BibTeX @misc{4ortxyz_road-extraction-from-remote-sensing-images-via-channel-attention-and-multilayer-axial-transformer_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Road Extraction From Remote Sensing Images via Channel Attention and Multilayer Axial Transformer}}, year = {2026}, url = {https://4ort.xyz/entity/road-extraction-from-remote-sensing-images-via-channel-attention-and-multilayer-axial-transformer}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Road Extraction From Remote Sensing Images via Channel Attention and Multilayer Axial Transformer — https://4ort.xyz/entity/road-extraction-from-remote-sensing-images-via-channel-attention-and-multilayer-axial-transformer (retrieved 2026-05-24)

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